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Description
Reproducing code example:
The following corner case works correctly with numpy 1.15.4 but raises an error with numpy 1.16.2
import numpy as np
np.linspace(start = -9223372036854775809, stop = -9223372036854775809, num =1)This was detected in a test with auto generated input using hypothesis to generate the input.
Error message:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-3-aa8cbb862cf0> in <module>
----> 1 np.linspace(start = -9223372036854775809, stop = -9223372036854775809, num =1)
~\AppData\Local\Continuum\miniconda3\envs\qcodes\lib\site-packages\numpy\core\function_base.py in linspace(start, stop, num, endpoint, retstep, dtype, axis)
141
142 delta = stop - start
--> 143 y = _nx.arange(0, num, dtype=dt).reshape((-1,) + (1,) * delta.ndim)
144 # In-place multiplication y *= delta/div is faster, but prevents the multiplicant
145 # from overriding what class is produced, and thus prevents, e.g. use of Quantities,
AttributeError: 'float' object has no attribute 'ndim'
Numpy/Python version information:
1.16.2 3.6.8 |Anaconda, Inc.| (default, Feb 21 2019, 18:30:04) [MSC v.1916 64 bit (AMD64)]
Details
This seems to happen when the number used is sufficiently large end up being represented
as an object dtype. This in turn means that delta will be a regular floating point number and not a numpy float. Therefore it does not have a ndim method. The 1.15 code looks different and does not require the ndim method to be defined.
type(np.asanyarray(-9223372036854775809))
dtype('O')
type(np.asanyarray(-9223372036854775809) * 1.0 - np.asanyarray(-9223372036854775809) *1.0)
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